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The Scientific World JournalVolume 2013 2013, Article ID 579460, 7 pages

Research Article

State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China

Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China

Received 5 April 2013; Accepted 30 April 2013

Academic Editors: F. Darve, B.-L. Ma, and A. Moldes

Copyright © 2013 Songhao Shang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Particle size distribution PSD is a fundamental physical property of soils. Traditionally, the PSD curve was generated by hand from limited data of particle size analysis, which is subjective and may lead to significant uncertainty in the freehand PSD curve and graphically estimated cumulative particle percentages. To overcome these problems, a log-cubic method was proposed for the generation of PSD curve based on a monotone piecewise cubic interpolation method. The log-cubic method and commonly used log-linear and log-spline methods were evaluated by the leave-one-out cross-validation method for 394 soil samples extracted from UNSODA database. Mean error and root mean square error of the cross-validation show that the log-cubic method outperforms two other methods. What is more important, PSD curve generated by the log-cubic method meets essential requirements of a PSD curve, that is, passing through all measured data and being both smooth and monotone. The proposed log-cubic method provides an objective and reliable way to generate a PSD curve from limited soil particle analysis data. This method and the generated PSD curve can be used in the conversion of different soil texture schemes, assessment of grading pattern, and estimation of soil hydraulic parameters and erodibility factor.





Autor: Songhao Shang

Fuente: https://www.hindawi.com/



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